US 11,694,792 B2
AI system for predicting reading time and reading complexity for reviewing 2D/3D breast images
Ashwini Kshirsagar, Santa Clara, CA (US); Haili Chui, Santa Clara, CA (US); Nikolaos Gkanatsios, Danbury, CT (US); Adora Dsouza, Sunnyvale, CA (US); and Xiangwei Zhang, Fremont, CA (US)
Assigned to Hologic, Inc., Marlborough, MA (US)
Filed by Hologic, Inc., Marlborough, MA (US)
Filed on Sep. 25, 2020, as Appl. No. 17/33,372.
Claims priority of provisional application 62/907,257, filed on Sep. 27, 2019.
Prior Publication US 2021/0098120 A1, Apr. 1, 2021
Int. Cl. G16H 40/20 (2018.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G16H 10/20 (2018.01); G06Q 10/0631 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/1093 (2023.01); G06T 7/00 (2017.01)
CPC G16H 40/20 (2018.01) [G06Q 10/06311 (2013.01); G06Q 10/06398 (2013.01); G06Q 10/1097 (2013.01); G06T 7/0012 (2013.01); G16H 10/20 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30068 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a processor; and
memory coupled to the processor, the memory comprising computer executable instructions that, when executed by the processor, performs a method comprising:
collecting a first set of data, wherein the first set of data comprises:
first mammographic exam data for one or more patients;
user profile data for one or more mammographic exam readers of the first mammographic exam data; and
evaluation data for the one or more mammographic exam readers;
providing the first set of data to a predictive model, wherein the first set of data is used to train the predictive model to determine a reading time for the first mammographic exam data;
collecting a second set of data, wherein the second set of data comprises at least second mammographic exam data for a patient, wherein the second mammographic exam data includes breast image data and one or more factors determined according to processing of the breast image data;
applying the second set of data to the trained predictive model;
receiving, from the trained predictive model, an estimated reading time for the second mammographic exam data based on the one or more factors determined according to processing of the breast image data; and
displaying the estimated reading time.